Global Quantitative Structure-Activity Relationship Market Report 2021-2027 – Growing Adoption of QSAR and Artificial Intelligence in Drug Discovery – | Business


The “Quantitative Structure-Activity Relationship Market Forecast to 2027 – COVID-19 Impact and Global Analysis by Application; Industry, and Geography” report has been added to‘s providing.

Quantitative Structure-Activity Relationship Market for Drug Discovery Segment to Grow at Highest CAGR throughout 2020-2027

Quantitative Structure-Activity Relationship (QSAR) Market is predicted to achieve US$ 1,888.5 million in 2027 from US$ 1,388.1 million in 2019, it’s estimated to develop at a CAGR of 4.0% from 2020 to 2027.

The market development is especially attributed to the growing adoption price of modeling instruments in drug discovery and rising investments for drug discovery. However, low adoption price of the method in rising nations is hindering the quantitative structure-activity relationship market development.

Based on software, the quantitative structure-activity relationship market is segmented into drug discovery, molecular modeling, chemical screening, regulatory and decision-making, and different purposes. In 2019, the drug discovery section accounted for the most important share, and it’s additional anticipated to register the best CAGR out there through the forecast interval.

The drug discovery course of typically includes using QSAR to determine chemical buildings that would have good inhibitory results on particular targets and have low toxicity (non-specific exercise). According to Lipinski’s Rule of Five, the prediction of partition coefficient log P is a crucial measure utilized in figuring out “drug likeness.” .

QSARs have a considerable function in toxicity prediction, drug design, and environmental destiny modeling of meals & drinks, chemical compounds, and prescription drugs. Moreover, predictive QSAR fashions are utilized by totally different regulatory businesses to do the estimation of chemical, bodily, and organic parameters of chemical compounds with the helps of particular purposes that exactly performs the duties of decision-making contexts in chemical security evaluation.

Ineffective drug targets are the principle purpose resulting in the failure of assorted late-stage medical trials. With the introduction of synthetic intelligence (AI) in healthcare, quite a few pharmaceutical firms have made investments in partnership agreements with software-based firms to develop higher healthcare instruments and applied sciences for avoiding drug failures.

For occasion, Pfizer is utilizing IBM Watson, a machine studying system, to boost its seek for immuno-oncology medicine. Sanofi has collaborated with Exscientia’s artificial-intelligence (AI) platform, a UK-based start-up, to find therapies to treatment metabolic ailments. Genentech is enhancing its seek for most cancers therapies through the use of an AI-based system provided by GNS Healthcare. Therefore, a lot of the firms engaged in drug discovery are utilizing AI instruments to display and determine compounds, calculate their potential, and decrease drug interactions that will trigger points later.

With the introduction of AI within the prescription drugs and healthcare sectors, the businesses in these sectors are investing in collaborations with AI gamers for the event of higher and superior healthcare instruments, which, in flip facilitates higher identification of drug targets and aids in designing new drug candidates.

Thus, an increase in variety of partnerships between pharmaceutical industries and AI firms, and authorities organizations has been witnessed on the worldwide scale. For occasion, in 2019, the Royal Free London NHS Foundation Trust entered right into a five-year partnership with DeepMind Technologies (Google), whereby the corporate is predicted to help the NHS in discovering therapies for the administration of acute kidney accidents. The 100,000 Genomes Project of the UK is a worldwide challenge that makes use of knowledge and AI from NHS sufferers with uncommon ailments. The challenge additionally has Roche, Merck, and Biogen as companions.

The COVID-19 pandemic is inflicting huge disruptions in provide chains, shopper markets, and economies the world over. However, the excessive demand for promising instruments for speedy and correct medicine and vaccine growth has boosted the demand for QSAR, thereby fueling the market development.

Key Industry Dynamics

Market Drivers

  • Increasing Adoption of Modeling Tools in Drug Discovery
  • Increasing Economic Burden of Drug Discovery

Market Restraints

  • Less Adoption in Emerging Countries

Market Opportunities

  • Market Players Initiatives

Future Trends

  • Growing Adoption of QSAR and Artificial Intelligence in Drug Discovery

Companies Mentioned

  • Protoqsar Sl.
  • Intertek Group Plc
  • Bibra Toxicology Advice And Consulting Ltd
  • Covance Inc. (Labcorp)
  • Latham Biopharm Group
  • Nsf International
  • Creative Biolabs
  • Qsar Lab Sp. Z O
  • Dassault Systemes

The Report Segments Quantitative Structure-Activity Relationship Market as Follows:

By Application

  • Drug Discovery
  • Molecular Modelling
  • Chemical Screening
  • Regulatory and Decision-Making
  • Other Applications

By Industry

  • Pharmaceuticals
  • Cosmetics
  • Environmental
  • Food and Beverage

By Geography

  • North America
  • US
  • Canada
  • Mexico
  • Europe
  • France
  • Germany
  • UK
  • Spain
  • Italy
  • Asia Pacific (APAC)
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Middle East and Africa (MEA)
  • Saudi Arabia
  • UAE
  • South Africa
  • South and Central America (SCAM)
  • Brazil
  • Argentina

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SOURCE: Research and Markets

Copyright Business Wire 2021.

PUB: 04/30/2021 10:24 AM/DISC: 04/30/2021 10:24 AM

Copyright Business Wire 2021.


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